Pith Number
pith:72MHL3WD
pith:2025:72MHL3WDH767U6PR74VEC7Z6QG
not attested
not anchored
not stored
refs pending
Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
arxiv:2507.20505 v1 · 2025-07-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{72MHL3WDH767U6PR74VEC7Z6QG}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T11:44:20.447821Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe9875eec33ffdfa79f1ff2a417f3e8181cac1d4c7731ea2ed4a71aa89686ea3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/72MHL3WDH767U6PR74VEC7Z6QG \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fe9875eec33ffdfa79f1ff2a417f3e8181cac1d4c7731ea2ed4a71aa89686ea3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f424d1417d97eba2e02bce7d88cd641d68404f2a8c6fc3301c6765f0752294ec",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-28T03:59:57Z",
"title_canon_sha256": "821289ccb74ba6006b4d5fb625d00d2f58e9ca63b7a335a07529c38f3d316fe4"
},
"schema_version": "1.0",
"source": {
"id": "2507.20505",
"kind": "arxiv",
"version": 1
}
}